Jingrui He

According to our database1, Jingrui He authored at least 92 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2018
Social Phishing.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

RCLens: Interactive Rare Category Exploration and Identification.
IEEE Trans. Vis. Comput. Graph., 2018

Function-on-Function Regression with Mode-Sparsity Regularization.
TKDD, 2018

Feature co-shrinking for co-clustering.
Pattern Recognition, 2018

Heterogeneous representation learning with separable structured sparsity regularization.
Knowl. Inf. Syst., 2018

Inferring Anchor Links Based on Social Network Structure.
IEEE Access, 2018

GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems.
Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, 2018

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Local Algorithm for Product Return Prediction in E-Commerce.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Motif-Preserving Dynamic Local Graph Cut.
Proceedings of the IEEE International Conference on Big Data, 2018

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation.
Proceedings of the IEEE International Conference on Big Data, 2018

Source Free Domain Adaptation Using an Off-the-Shelf Classifier.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Towards Optimal Connectivity on Multi-Layered Networks.
IEEE Trans. Knowl. Data Eng., 2017

Discovering rare categories from graph streams.
Data Min. Knowl. Discov., 2017

Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

MultiC2: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

User-guided Cross-domain Sentiment Classification.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Local Algorithm for Structure-Preserving Graph Cut.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Local Algorithm for User Action Prediction Towards Display Ads.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning from Data Heterogeneity: Algorithms and Applications.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Randomized Approach for Crowdsourcing in the Presence of Multiple Views.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.
IEEE Trans. Knowl. Data Eng., 2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
TKDD, 2016

Crowdsourcing via Tensor Augmentation and Completion.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bi-Level Rare Temporal Pattern Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Functional Regression with Mode-Sparsity Constraint.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Heterogeneous Representation Learning with Structured Sparsity Regularization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
A general framework for predictive tensor modeling with domain knowledge.
Data Min. Knowl. Discov., 2015

Learning Complex Rare Categories with Dual Heterogeneity.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Hierarchical Active Transfer Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

MUVIR: Multi-View Rare Category Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rare Category Detection on Time-Evolving Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cross-Site Virtual Social Network Construction.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-based Recommendation across Heterogeneous Domains.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Social Engineering/Phishing.
Encyclopedia of Social Network Analysis and Mining, 2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning with dual heterogeneity: a nonparametric bayes model.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning from Label and Feature Heterogeneity.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
MI2LS: multi-instance learning from multiple informationsources.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Improving Traffic Prediction with Tweet Semantics.
Proceedings of the IJCAI 2013, 2013

MILEAGE: Multiple Instance LEArning with Global Embedding.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Analysis of Rare Categories
Cognitive Technologies, Springer, ISBN: 978-3-642-22812-4, 2012

An effective framework for characterizing rare categories.
Frontiers Comput. Sci., 2012

Adaptive Multi-task Sparse Learning with an Application to fMRI Study.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

GenDeR: A Generic Diversified Ranking Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical Modeling with Tensor Inputs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Multi-view transfer learning with a large margin approach.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Diversified ranking on large graphs: an optimization viewpoint.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Graphbased Framework for Multi-Task Multi-View Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Coselection of features and instances for unsupervised rare category analysis.
Statistical Analysis and Data Mining, 2010

Co-selection of Features and Instances for Unsupervised Rare Category Analysis.
Proceedings of the SIAM International Conference on Data Mining, 2010

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.
Proceedings of the ICDMW 2010, 2010

Rare Category Characterization.
Proceedings of the ICDM 2010, 2010

Ensemble-Based Method for Task 2: Predicting Traffic Jam.
Proceedings of the ICDMW 2010, 2010

2009
Prior-Free Rare Category Detection.
Proceedings of the SIAM International Conference on Data Mining, 2009

Graph-based transfer learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Rare Class Discovery Based on Active Learning.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Graph-Based Rare Category Detection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
An evolutionary system for near-regular texture synthesis.
Pattern Recognition, 2007

Nearest-Neighbor-Based Active Learning for Rare Category Detection.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Graph-Based Semi-Supervised Learning as a Generative Model.
Proceedings of the IJCAI 2007, 2007

Asymmetric Gradient Boosting with Application to Spam Filtering.
Proceedings of the CEAS 2007, 2007

2006
Generalized Manifold-Ranking-Based Image Retrieval.
IEEE Trans. Image Processing, 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.
EURASIP J. Adv. Sig. Proc., 2006

2005
Learning No-Reference Quality Metric by Examples.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Graph based multi-modality learning.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Multiple random walk and its application in content-based image retrieval.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Internet Traffic Prediction by W-Boost: Classification and Regression.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Boosting Web Image Search by Co-Ranking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Unified Optimization Based Learning Method for Image Retrieval.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Classification of Digital Photos Taken by Photographers or Home Users.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Peak Number Detection in Image Symmetry Analysis.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Manifold-ranking based image retrieval.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Mean version space: a new active learning method for content-based image retrieval.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.
Proceedings of the Advances in Neural Networks, 2004

W-Boost and Its Application to Web Image Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Symmetry feature in content-based image retrieval.
Proceedings of the 2004 International Conference on Image Processing, 2004


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